Robust camera calibration of soccer video using genetic algorithm

R. Pourreza, M. Khademi, H. Pourreza, H. R. Mashhadi
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引用次数: 7

Abstract

This paper proposes an exact and robust genetic algorithm-based method for the calibration of soccer camera. According to the FIFA official soccer field layout we defined a field model for the soccer court. Camera calibration is done through finding the homography transform between the field model and the input frame which is followed with DLT decomposition. The intersection of lines in the field model and input frame form feature points and by means of a genetic algorithm, we found the correspondence between those points. Our algorithm was applied to a couple of soccer video frames and the achieved results demonstrate its robustness, accuracy and high performance.
基于遗传算法的足球视频鲁棒摄像机标定
提出了一种精确、鲁棒的基于遗传算法的足球摄像机标定方法。根据国际足联官方足球场的布局,我们定义了足球场的场地模型。摄像机标定是通过寻找场模型与输入帧之间的单应变换,然后进行DLT分解来完成的。将场模型中的直线与输入帧的交点形成特征点,通过遗传算法找到特征点之间的对应关系。将该算法应用于几个足球视频帧,结果表明该算法具有鲁棒性、准确性和高性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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